Daniel Welfer

933 total citations
33 papers, 628 citations indexed

About

Daniel Welfer is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Ophthalmology. According to data from OpenAlex, Daniel Welfer has authored 33 papers receiving a total of 628 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Radiology, Nuclear Medicine and Imaging, 13 papers in Computer Vision and Pattern Recognition and 11 papers in Ophthalmology. Recurrent topics in Daniel Welfer's work include Retinal Imaging and Analysis (17 papers), Digital Imaging for Blood Diseases (7 papers) and Glaucoma and retinal disorders (7 papers). Daniel Welfer is often cited by papers focused on Retinal Imaging and Analysis (17 papers), Digital Imaging for Blood Diseases (7 papers) and Glaucoma and retinal disorders (7 papers). Daniel Welfer collaborates with scholars based in Brazil, United States and Australia. Daniel Welfer's co-authors include Diane Ruschel Marinho, Jacob Scharcanski, Daniel Fernando Tello Gamarra, Marco Antônio de Souza Leite Cuadros, Marílton Sanchotene de Aguiar, Marcelo Lima Ribeiro, Maurício Sperandio, Marcelo Fernandes Pacheco Dias, Diego Kreutz and Marcelo Silva and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.

In The Last Decade

Daniel Welfer

30 papers receiving 584 citations

Peers

Daniel Welfer

RNMI

OPHTH

CVPR

HIM

T. Shanthi India

Hailan Shen China

André M. Santana Brazil

Jan M. Köhler Germany

Juan J. Gómez-Valverde Spain

Liucun Zhu China

Grace Ugochi Nneji China

Kh Tohidul Islam Australia

Lucía Ramos Spain

Mostafa E. A. Ibrahim Egypt

T. Shanthi India

Daniel Welfer

202 ×0.4

RNMI

89 ×0.2

OPHTH

142 ×0.4

CVPR

108 ×2.2

69 ×1.8

HIM

Citations per year, relative to Daniel Welfer Daniel Welfer (= 1×) peers T. Shanthi

Countries citing papers authored by Daniel Welfer

Since Specialization

Citations

This map shows the geographic impact of Daniel Welfer's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Daniel Welfer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Welfer more than expected).

Fields of papers citing papers by Daniel Welfer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Welfer. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Daniel Welfer. The network helps show where Daniel Welfer may publish in the future.

Co-authorship network of co-authors of Daniel Welfer

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Welfer. A scholar is included among the top collaborators of Daniel Welfer based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel Welfer. Daniel Welfer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Quincozes, Silvio E., et al.. (2025). Minimal but Lethal: A XAI-Driven Approach for Feature-Level Adversarial Attacks on Healthcare 5.1. 609–625.

Aguiar, Marílton Sanchotene de, et al.. (2024). DRAT: A semi-supervised tool for automatic annotation of lesions caused by diabetic retinopathy. 1–9. 1 indexed citations

Aguiar, Marílton Sanchotene de, et al.. (2023). A New Approach for Fundus Lesions Instance Segmentation Based on Mask R-CNN X101-FPN Pre-Trained Architecture. IEEE Access. 11. 43603–43618. 7 indexed citations

Aguiar, Marílton Sanchotene de, et al.. (2023). Improved Detection of Fundus Lesions Using YOLOR-CSP Architecture and Slicing Aided Hyper Inference. IEEE Latin America Transactions. 21(7). 806–813. 2 indexed citations

Aguiar, Marílton Sanchotene de, et al.. (2023). Um novo método baseado em detector de dois estágios para segmentação de instância de lesões retinianas usando o modelo Mask R-CNN e a biblioteca Detectron2. 1–12. 1 indexed citations

Welfer, Daniel, et al.. (2022). Gesture Recognition using FastDTW and Deep Learning Methods in the MSRC-12 and the NTU RGB+D Databases. IEEE Latin America Transactions. 20(9). 2189–2195. 3 indexed citations

Aguiar, Marílton Sanchotene de, et al.. (2022). A New Approach for Detecting Fundus Lesions Using Image Processing and Deep Neural Network Architecture Based on YOLO Model. Sensors. 22(17). 6441–6441. 36 indexed citations

Aguiar, Marílton Sanchotene de, et al.. (2022). A Method Based on Deep Neural Network for Instance Segmentation of Retinal Lesions Caused by Diabetic Retinopathy. 2886. 165–171. 1 indexed citations

Sperandio, Maurício, et al.. (2021). Cloud Variance Impact on the Voltage and Power Flow of Distribution Networks with Photovoltaic Generators. IEEE Latin America Transactions. 19(2). 217–225. 4 indexed citations

10.

Welfer, Daniel, et al.. (2019). Low-Dose CT Dental Image Denoising by Morphological Operators and 3D Filtering. 54–59.

11.

Welfer, Daniel, et al.. (2019). Mobile Robot Navigation Using an Object Recognition Software with RGBD Images and the YOLO Algorithm. Applied Artificial Intelligence. 33(14). 1290–1305. 52 indexed citations

12.

Welfer, Daniel, et al.. (2017). Use of Flowchart for Automation of Clinical Protocols in mHealth.. PubMed. 245. 59–63. 1 indexed citations

13.

Welfer, Daniel, et al.. (2017). CTdBem - A New Protocol for Ultra Low Radiation Dose MDCT.. PubMed. 245. 1029–1032. 1 indexed citations

14.

Welfer, Daniel, et al.. (2017). Cattle Brand Recognition using Convolutional Neural Network and Support Vector Machines. IEEE Latin America Transactions. 15(2). 310–316. 16 indexed citations

15.

Welfer, Daniel, et al.. (2016). A Novel iOS m-Health Application to Assist the Hospital-Acquired Pneumonia Diagnosis and Treatment. IEEE Latin America Transactions. 14(3). 1335–1342. 2 indexed citations

16.

Welfer, Daniel, et al.. (2014). A mobile application system for diagnosis and management of Community-Acquired Pneumonia. 117. 341–346. 1 indexed citations

17.

Welfer, Daniel, et al.. (2013). Automatic Detection of Microaneurysms and Hemorrhages in Color Eye Fundus Images. International Journal of Computer Science and Information Technology. 5(5). 21–37. 51 indexed citations

18.

Welfer, Daniel, et al.. (2010). Segmentation of the optic disk in color eye fundus images using an adaptive morphological approach. Computers in Biology and Medicine. 40(2). 124–137. 131 indexed citations

19.

Welfer, Daniel, Jacob Scharcanski, & Diane Ruschel Marinho. (2010). Fovea center detection based on the retina anatomy and mathematical morphology. Computer Methods and Programs in Biomedicine. 104(3). 397–409. 65 indexed citations

20.

Welfer, Daniel, Jacob Scharcanski, & Diane Ruschel Marinho. (2009). A coarse-to-fine strategy for automatically detecting exudates in color eye fundus images. Computerized Medical Imaging and Graphics. 34(3). 228–235. 125 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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